2 papers
cs.LG2026
AsymVLM: Asymmetric Token Pruning for Efficient Vision-Language Model Inference
Yilin Feng, Ahmed Burak Gulhan, Mahmut Taylan Kandemir
Vision-Language Models (VLMs) process thousands of visual tokens per image alongside comparatively few text tokens, yet existing compression methods treat both modalities uniformly…
cs.LG2025
BaKlaVa -- Budgeted Allocation of KV cache for Long-context Inference
Ahmed Burak Gulhan, Krishna Teja Chitty-Venkata, Murali Emani +2
In Large Language Model (LLM) inference, Key-Value (KV) caches (KV-caches) are essential for reducing time complexity. However, they result in a linear increase in GPU memory as th…